A Consumer Decision-Making Model in M-Commerce

2016 ◽  
Vol 29 (2) ◽  
pp. 37-58 ◽  
Author(s):  
Weijun Zheng ◽  
Leigh Jin

The objective of this paper is to understand the importance of mobile reputation systems in mobile users' app discovery and purchase satisfaction. A theoretical framework describing the mediating effects of reputation systems on mobile app users' purchase satisfaction is developed and empirically tested with mobile app users. The findings of this study suggest that mobile reputation systems embedded in application stores play important mediating roles in mobile app purchase decision-making process and ultimately purchase satisfaction.

2018 ◽  
pp. 107-130
Author(s):  
Weijun Zheng ◽  
Leigh Jin

The objective of this paper is to understand the importance of mobile reputation systems in mobile users' app discovery and purchase satisfaction. A theoretical framework describing the mediating effects of reputation systems on mobile app users' purchase satisfaction is developed and empirically tested with mobile app users. The findings of this study suggest that mobile reputation systems embedded in application stores play important mediating roles in mobile app purchase decision-making process and ultimately purchase satisfaction.


Author(s):  
Yuk Kuen Wong ◽  
C. J. Hsu

The aim of this study focuses solely on the customer’s perceptions of the m-commerce environment, rather than on trust in intermediaries or in third parties that might mediate between the customer and the store. The focus is on development of a framework to explain mcommerce acceptance in consumers’ decision-making process. The chapter further extends the technology acceptance model (TAM) in mobile commerce, particularly in the context of the consumer’s confidence level in the buying decision making process, rather than only focusing on the users’ acceptance of technology. The chapter provides a theoretical framework for mcommerce adoption and also suggests the importantrelationships between psychological and behavioral factors in the consumer decision-making process.


2016 ◽  
Vol 35 (2) ◽  
pp. 292-304 ◽  
Author(s):  
Lauren G. Block ◽  
Punam A. Keller ◽  
Beth Vallen ◽  
Sara Williamson ◽  
Mia M. Birau ◽  
...  

2013 ◽  
Vol 756-759 ◽  
pp. 504-508
Author(s):  
De Min Li ◽  
Jian Zou ◽  
Kai Kai Yue ◽  
Hong Yun Guan ◽  
Jia Cun Wang

Evacuation for a firefighter in complex fire scene is challenge problem. In this paper, we discuss a firefighters evacuation decision making model in ad hoc robot network on fire scene. Due to the dynamics on fire scene, we know that the sensed information in ad hoc robot network is also dynamically variance. So in this paper, we adapt dynamic decision method, Markov decision process, to model the firefighters decision making process for evacuation from fire scene. In firefighting decision making process, we know that the critical problems are how to define action space and evaluate the transition law in Markov decision process. In this paper, we discuss those problems according to the triangular sensors situation in ad hoc robot network and describe a decision making model for a firefighters evacuation the in the end.


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